FIELD
[0001] Embodiments described herein relate generally to an ultrasonic diagnosis apparatus
and a medical image processing apparatus.
BACKGROUND
[0002] An ultrasonic diagnosis apparatus is a diagnosis apparatus to display images of in
vivo information. The ultrasonic diagnosis apparatus is used as a useful apparatus
for noninvasive observation in real time at low cost without exposure to radiation
as compared with other image diagnosis apparatuses such as an X-ray diagnosis apparatus
and an X-ray computed tomography apparatus. The ultrasonic diagnosis apparatus has
a wide range of applications including diagnosis of circulatory organs such as the
heart, abdominal organs such as the liver and kidney, and peripheral vessels, diagnosis
in obstetrics and gynecology, and diagnosis of breast cancer.
[0003] In general, the ultrasonic diagnosis apparatus obtains one-dimensional vital information
by a one-time pulse transmitted from a probe. Repeatedly performing such transmission/reception
while changing the transmitting direction can reconstruct a two-dimensional tomogram.
This image represents the form of an organ or the like in an object and is called
a B-mode image or simply called a tomogram, which is a most basic picture mode for
ultrasonic diagnosis.
[0004] Likewise, repeatedly performing transmission/reception in three-dimensional directions
can obtain three-dimensional information of a living body organ. Currently, visualization
of three-dimensional information using ultrasonic waves has already been clinically
used owing to a technique of three-dimensionally changing the transmitting/receiving
direction by mechanically swinging the probe or electronically controlling the delays
of a plurality of transducers two-dimensionally arrayed.
[0005] Using three-dimensional information can perform image reconstruction which cannot
be performed by using a simple tomogram like a conventional B-mode image. This makes
it possible to improve the efficiency of diagnosis and provide new diagnosis information.
For fetal observation, for example, tomographic observation of a fetus is the mainstream
technique in the normal B mode. In contrast, using three-dimensional information makes
it possible to reconstruct an image of the face of a fetus such that the surface of
the face looks as if it were imaged by a camera.
[0006] It is not always possible to implement a three-dimensional image like that described
in the case of the fetus in all cases. In the case of a fetus, amniotic fluid exists
between the surface of the fetus and the probe. The amniotic fluid generally includes
no ultrasonic echo, and hence the surface of an object of interest can be imaged relatively
easily. This applies to the inner walls of the heart, blood vessels, and bile ducts.
Since a blood portion in a cardiac chamber or the like includes no echo, it is easy
to visualize the surface of the blood portion.
[0007] In other cases, however, it is not easy to observe surfaces with ultrasonic waves.
Assume that the state of the surface of a tumor in the liver is to be imaged. In this
case, solid echo signals also exist outside the tumor. For this reason, in order to
observe the surface of the tumor, it is necessary to carefully remove signals outside
the tumor.
[0008] The observation of the surface of the liver has attracted attention. In some cases,
the tissue properties of the liver diffusedly change from the onset of hepatitis up
to hepatic cirrhosis. However, a characteristic of hepatitis also appears on the liver
surface. That is, the surface becomes uneven. Currently, such a state is optically
observed with an abdominal endoscope. This technique is to observe the surface of
an abdominal region of a patient by inserting an endoscope (camera) into a small hole
formed in the abdominal region of the patient under anesthesia. Since an air gap is
generally provided between the liver and the peritoneum, such optical observation
can be done.
[0009] If, however, an image of the liver surface like that described above is to be obtained
by an ultrasonic diagnosis apparatus, since the liver surface is in contact with the
peritoneum, it is difficult to image the liver surface by using general three-dimensional
ultrasonic waves as in the case of the tumor surface described above.
BRIEF DESCRIPTION OF THE DRAWINGS
[0010]
FIG. 1 is a block diagram showing the arrangement of an ultrasonic diagnosis apparatus
according to an embodiment;
FIG. 2 is a flowchart showing a surface image generating procedure according to this
embodiment;
FIG. 3 is a supplementary view for step 52 in FIG. 2;
FIG. 4 is a supplementary view for steps 52 and 53 in FIG. 2;
FIG. 5 is a supplementary view for step 55 in FIG. 2;
FIG. 6 is a supplementary view for step 58 in FIG. 2;
FIG. 7 is a supplementary view for step 53 in FIG. 2;
FIG. 8 is a supplementary view for step 54 in FIG. 2;
FIG. 9 is a view showing an example of the surface image obtained in step 55 in FIG.
2;
FIG. 10 is a view showing a target used in an experimental example in this embodiment;
FIG. 11 is a view showing an actual tomogram of the target in FIG. 10; and
FIG. 12 is a view showing an actual surface image associated with the target in FIG.
10.
DETAILED DESCRIPTION
[0011] In general, according to one embodiment, an ultrasonic diagnosis apparatus includes
an ultrasonic probe, an ultrasonic transmission/reception unit which generates echo
signals associated with a plurality of scan planes by transmitting and receiving ultrasonic
waves to and from an object via the ultrasonic probe, an image data generating unit
which generate a plurality of tomogram data respectively corresponding to the plurality
of scan planes based on the echo signals, a contour line extraction processing unit
which extracts a plurality of contour lines of a specific region from the plurality
of tomograms, a contour line processing unit which generates a plurality of curves
respectively corresponding to the plurality of extracted contour lines, and a surface
image generating unit which generates a plurality of one-dimensional brightness trains
on the plurality of curves from the plurality of tomograms and generates a surface
image expressing the surface unevenness of the specific region with brightness changes
by arraying the brightness trains in accordance with the positions of the corresponding
scan planes.
[0012] FIG. 1 shows the arrangement of the ultrasonic diagnosis apparatus according to this
embodiment. This ultrasonic diagnosis apparatus includes an ultrasonic diagnosis apparatus
main unit 11, an ultrasonic probe 12, an input device 13, and a monitor 14. The ultrasonic
probe 12 includes a plurality of piezoelectric transducers which generate ultrasonic
waves upon receiving driving signals from an ultrasonic reception unit 22 of the apparatus
main unit 11 and convert reflected waves from an object into electrical signals, a
matching layer provided for the piezoelectric transducers, and a backing member which
prevents ultrasonic waves from propagating backward from the piezoelectric transducers.
When the ultrasonic probe 12 transmits an ultrasonic wave to an object P, the transmitted
ultrasonic wave is sequentially reflected by a discontinuity surface of acoustic impedance
of body tissue, and is received as an echo signal by the ultrasonic probe 12. The
amplitude of this echo signal depends on an acoustic impedance difference on the discontinuity
surface by which the echo signal is reflected. The echo produced when a transmitted
ultrasonic pulse is reflected by the surface of a moving blood flow, cardiac wall,
or the like is subjected to a frequency shift depending on the velocity component
of the moving body in the ultrasonic transmitting direction due to a Doppler effect.
[0013] The input device 13 includes various types of switches, buttons, a trackball, a mouse,
and a keyboard which are used to input, to the apparatus main unit 11, various types
of instructions and conditions, an instruction to set a region of interest (ROI),
various types of image quality condition setting instructions, and the like from an
operator. The monitor 14 displays morphological information and blood flow information
in the living body as images based on video signals from an image generating unit
25.
[0014] The apparatus main unit 11 includes the ultrasonic transmission unit 21, the ultrasonic
reception unit 22, a B-mode processing unit 23, a Doppler processing unit 24, the
image generating unit 25, an image memory 26, an image combining unit 27, a control
processor 28, a storage medium 29, an interface unit 30, and an image reconstruction
unit 31. The ultrasonic transmission unit 21, the ultrasonic reception unit 22, and
the like of the apparatus main unit 11 are implemented by hardware such as an integrated
circuit in some cases, and are software programs in the form of software modules in
other cases. The function of each constituent element will be described below.
[0015] The ultrasonic transmission unit 21 includes a pulse generator 21A, a transmission
delay unit 21B, and a pulser 21C. The pulse generator 21A repetitively generates rate
pulses for the formation of transmission ultrasonic waves at a predetermined rate
frequency fr Hz (period: 1/fr sec). The transmission delay unit 21B gives each rate
pulse a delay time necessary to focus an ultrasonic wave into a beam and determine
transmission directivity for each channel. The pulse generator 21A applies a driving
pulse to the probe 12 at the timing based on a rate pulse for each channel.
[0016] The ultrasonic reception unit 22 includes a preamplifier 22A, an A/D converter (not
shown), a reception delay unit 22B, and an adder 22C. The preamplifier 22A amplifies
an echo signal received via the probe 12 for each channel. The reception delay unit
22B gives the amplified echo signals delay times necessary to determine reception
directivities. The adder 22C then performs addition processing. With this addition,
the reflected component of the echo signal from the direction corresponding to the
reception directivity is enhanced, and a synthetic beam for ultrasonic transmission/reception
is formed in accordance with the reception directivity and the transmission directivity.
[0017] The B-mode processing unit 23 receives an echo signal from the reception unit 22,
and performs logarithmic amplification, envelope detection processing, and the like
for the signal to generate data expressing the intensity of the signal with brightness.
The image generating unit 25 converts the output data from the B-mode processing unit
23 into a B-mode image expressing the intensity of a reflected wave with brightness
by using a predetermined lookup table. The monitor 14 displays the B-mode image.
[0018] The Doppler processing unit 24 frequency-analyzes velocity information from the echo
signal received from the reception unit 22, extracts a blood flow or tissue owing
to a Doppler effect and a contrast medium echo component, and obtains blood information
such as mean velocities, variances, powers, and the like at multiple points. The obtained
blood flow information is sent to the image generating unit 25 to be converted into
a mean velocity image, a variance image, a power image, or a combined image thereof,
and is displayed in color on the monitor 14.
[0019] The image generating unit 25 generates an ultrasonic diagnosis image as a display
image by converting the scanning line signal string for ultrasonic scanning into a
scanning line signal string in a general video format typified by a TV format or the
like. The image generating unit 25 includes a memory to store image data, and allows
an operator to retrieve a recorded image during examination after diagnosis. Note
that data before it is input to the image generating unit 25 is sometimes called "raw
data".
[0020] The image memory 26 includes a memory to store the image data received from the image
generating unit 25. The operator can retrieve this image data after diagnosis, and
can reproduce the data as a still image or a moving image by using a plurality of
frames.
[0021] The storage medium 29 stores a scan sequence (to be described later), a control program
for executing image generation/display processing, diagnosis information (a patient
ID, findings by a doctor, and the like), a diagnosis protocol, transmission/reception
conditions, and other data. The storage medium 29 is also used to store images in
the image memory 26, as needed. The storage medium 29 also stores an image processing
program for generating a new image unique to this embodiment (to be described later).
Data in the storage medium 29 can be transferred to an external peripheral apparatus
via the interface unit 30.
[0022] The control processor 28 is a control unit which has a function as an information
processing apparatus (computer) and controls the operation of this ultrasonic diagnosis
apparatus main unit. The control processor 28 reads out control programs for executing
image generation/display processing (to be described later) and the like, and executes
computation/control and the like associated with various types of processing.
[0023] The interface unit 30 is an interface associated with the input device 13, a network,
and a new external storage device (not shown). The interface unit 30 can transfer
data such as ultrasonic images, analysis results, and the like obtained by this apparatus
to another apparatus via the network.
[0024] The image reconstruction unit 31 is an image processing unit which receives images
from the image memory 26 or image data obtained from the image memory 26 via the storage
medium 29, and generates new images according to this embodiment. The generated images
are sent to the image combining unit 27 and displayed on the monitor 14 in parallel
with normal diagnosis images.
[0025] This embodiment generates new images by the following processing and functions in
order to express the surface unevenness of a region of interest such as an organ by
simple processing with high reproducibility/reliability. A new image is an image expressing
the surface unevenness of a region of interest such as the liver with brightness,
and will be referred to as a "surface image" hereinafter. A new "surface image" according
to this embodiment essentially differs from an existing surface image generated from
volume data by projection processing in terms of processing steps. An existing surface
image is generated by projection processing and rendering from volume data generated
from a plurality of multislice images by interpolation processing, coordinate conversion,
and the like. In contrast, a new "surface image" (to be simply referred to as a surface
image hereinafter) according to this embodiment can be generated by simpler processing
with a considerably reduced number of processing steps, as described below. This makes
it possible to similarly generate images concurrently with scanning.
[0026] This apparatus performs three-dimensional scanning. Three-dimensional scanning is
implement by moving a two-dimensional scan plane during a period in which two-dimensional
scanning is repeated. The apparatus moves a two-dimensional scan plane by manually
moving the ultrasonic probe on the body surface of an object, or electronically or
mechanically rotating a two-dimensional scan plane, or electronically or mechanically
swinging a two-dimensional scan plane. Three-dimensional scanning will generate a
plurality of tomograms covering an organ of interest.
[0027] For surface image generation processing, first of all, this apparatus includes a
function of extracting, for each image, the contour of an organ of interest (a contour
line; see reference numeral 62 in FIG. 8) from pixel value (the amplitude of a reception
signal) differences of a tomogram (image tone or brightness changes of an image) by
threshold processing or the like. With this operation, positions on the surface of
the organ of interest are estimated. A contour line meanders in accordance with the
surface unevenness of the organ of interest.
[0028] Second, the apparatus specifies a characteristic new curve (rough contour line) passing
between a train of depth local maximum points on the meandering contour line and a
train of depth local minimum points on the contour line. Note that the "depth" is
the linear distance from the probe to a target. The "depth local maximum point" is
the deepest point within a local range on the contour line. The "depth local minimum
point" is the shallowest point within a local range on the contour line.
[0029] A typical example of a rough contour line is a smoothed curve (see reference numeral
63 in FIG. 8) obtained by smoothing the depth changes of the rough contour line. This
makes it possible to obtain a smoothed curve passing through almost the middles of
concave and convex portions of the surface of the organ of interest while crossing
the rough contour line meandering in accordance with the surface unevenness.
[0030] Third, the apparatus generates a new image by using a train of pixel values or brightness
values on the smoothed curve. Each brightness on the extracted contour line exhibits
almost the maximum brightness value in its surrounding area. In contrast, the brightness
at a position distant from the contour line decreases depending on the distance to
some extent. That is, the brightness value changes on the smoothed curve reflect the
surface unevenness of the organ of interest.
[0031] The technique according to this embodiment can obtain only the information of a one-dimensional
brightness value train as a "new image (surface image)" obtained from one B-mode tomogram.
It is however possible to generate a surface image as a new two-dimensional image
by collecting a plurality of brightness value trains from a plurality of consecutive
B-mode images, i.e., three-dimensional ultrasonic data, and arraying them in accordance
with scanning positions. It is eventually possible to provide an examiner with this
surface image as an image expressing the surface unevenness of the organ of interest
with brightness levels.
[0032] When an operator simply scans, for example, the liver slowly and three-dimensionally,
it is possible to visualize the state of a liver surface and allow easy diagnosis
of the state of the unevenness of the liver surface.
[0033] A procedure for generating a new surface image according to this embodiment will
be described in detail below. FIG. 2 shows a procedure for this processing. First
of all, the operator performs input operation by using a button or the like of the
input device 13 to start a surface image generation technique according to this embodiment
(51). As shown in FIG. 3, slowly moving the probe 12 on, for example, a body surface
corresponding to the liver will scan a three-dimensional region including the liver.
Note that a two-dimensional scan plane is defined on the X- and Y-axes, and the moving
direction of the two-dimensional scan plane is defined on the Z-axis. Three-dimensional
scanning is arbitrary. It is possible to make the operator move the probe 12 while
repeating two-dimensional ultrasonic scanning or to move the probe 12 mechanically
or electronically. Performing three-dimensional scanning will generate echo signals
associated with a plurality of scan planes. As shown in FIG. 4, the image generating
unit 25 then generates data of a plurality of tomograms respectively corresponding
to the plurality of scan planes based on the echo signals.
[0034] The data of a two-dimensional tomogram from the image generating unit 25 is sent
to the image reconstruction unit 31 (52). The image reconstruction unit 31 then extracts
the contour of an organ surface or tumorous lesion from the sent tomogram (53). At
this time, the tomogram may include a plurality of organ surfaces undesired by the
examiner. As shown in FIG. 6, therefore, the examiner can set a region of interest
(ROI) 61 on the tomogram so as to locally limit a region from which a contour is to
be extracted. The operator can arbitrarily change the size and position of the ROI
61 with the input device 13 (58). As another example of such technique, it is possible
to use a means for automatically predicting a region from which a contour is to be
extracted, by designating a preset for designating a diagnosis region before examination.
If, for example, a "liver surface" is selected as a preset, the apparatus analyzes
a near-distance region like that shown as the ROI 61 in FIG. 6.
[0035] Although various methods have currently been proposed as contour extraction techniques,
since an ultrasonic diagnosis image expresses an organ contour with brightness levels,
it is possible to use an arbitrary proper means of contour extraction techniques using
brightness values (the intensities of reception signals). FIG. 7 shows an example
of this technique. In this case, the apparatus searches the set ROI 61 from a lower
end to an upper portion for a maximum brightness point and eventually extracts a marginal
curve extending laterally. Note that the above algorithm may use a method of substituting
"a point reaching a given threshold" for a "maximum brightness point".
[0036] As shown in FIG. 8, the apparatus generates a "smoothed curve 63" for final imaging
based on a contour line 62 after contour extraction (54). The smoothed curve 63 is
a curve smoothly and approximately tracking the extracted contour line 62, and is
obtained by, for example, smoothing (averaging) the coordinates of the contour line
(depths) by moving average processing.
[0037] The following is a reason why the smoothed curve 63 is obtained (FIG. 8). That is,
the extracted contour line 62 is obtained by extracting maximum brightnesses, and
hence the brightnesses on the curve are almost equally high. In contrast, as shown
FIG. 8, the smoothed curve 63 repeatedly crosses the contour line 62, and hence high
and low brightnesses alternately appear on the smoothed curve 63. In addition, regarding
a smooth contour, the contour line 62 and the smoothed curve 63 exhibit almost the
same shape, and hence high and low brightnesses appear less frequently.
[0038] The train of brightness values on the smoothed curve obtained by the algorithm according
to this embodiment has information which can express the state of the unevenness of
the contour with brightness changes.
[0039] Brightness values on the smoothed curve are displayed as a new surface image (55).
Note however that performing the above processing only once will obtain a one-dimensional
straight line as a resultant image. Therefore, another straight line is added by performing
the processing in steps 52 to 55 again for the ultrasonic tomogram obtained afterward.
Repeating this processing will reconstruct a surface image two-dimensionally expressing
the surface unevenness like that shown in FIGS. 5 and 9.
[0040] The apparatus repeats the procedure from step 52 to step 56 until the operator issues
an end instruction. If the number of reconstructed straight lines exceeds the display
area, it is possible to perform re-rendering upon returning to the upper end of the
display area or update the latest image by scrolling/displaying.
[0041] FIGS. 10 to 12 show an example of a basic experiment. An engraved medal 71 as an
experimental sample made of a metal and having a width of about 4 cm was dipped in
water. A 7-MHz band ultrasonic probe used in general diagnosis was slowly scanned
on the surface of the medal. The unevenness of the engravings on the metal surface
was 1 mm or less. Seeing a tomogram 72 during scanning indicates that a smoothed curve
is obtained by the algorithm according to this embodiment, even though the boundaries
on the metal surface are not necessarily linear. Seeing an image 73 obtained by reconstructing
this curve indicates that the design of the medal is properly visualized.
<Application Using Mechanical Swinging Probe>
[0042] The above description is based on the assumption that the operator manually and three-dimensionally
scans an object. It is also possible to perform such three-dimensional scanning by
using a mechanical three-dimensional probe which mechanically swings or a two-dimensional
matrix array probe whose delay directions can be electronically controlled.
[0043] In this case, the operator can obtain the above reconstructed image while keeping
the probe itself at the same position. However, an arrangement for image processing
and the like can be implemented by the same arrangement as described above.
<Display>
[0044] The reconstructed image in this embodiment is displayed on the display unit in parallel
with a normal B-mode image or the like. Although an image in this embodiment can be
independently displayed, the embodiment can display it in parallel with a B-mode image
during scanning, thus providing suitable display.
[0045] According to this embodiment, when the operator simply scans, for example, the liver
slowly and three-dimensionally, it is possible to visualize the state of a liver surface
and allow easy diagnosis of the state of the unevenness of the liver surface. It is
difficult to display such a diagnosis image by any conventional methods. That is,
the present invention can provide new diagnosis information.
[0046] In addition, this technique need not acquire volume data necessary for a three-dimensional
imaging method, and reduces the amount of data required for diagnosis. Alternatively,
the technique need not perform computation such as volume rendering required for a
general three-dimensional imaging method, and hence reduces the computation load on
the CPU.
[0047] While certain embodiments have been described, these embodiments have been presented
by way of example only, and are not intended to limit the scope of the inventions.
Indeed, the novel methods and systems described herein may be embodied in a variety
of other forms; furthermore, various omissions, substitutions and changes in the form
of the methods and systems described herein may be without departing from the spirit
of the inventions. The accompanying claims and their equivalents are intended to cover
such forms or modifications as would fall within the scope and spirit of the inventions.
[0048] It is explicitly stated that all features disclosed in the description and/or the
claims are intended to be disclosed separately and independently from each other for
the purpose of original disclosure as well as for the purpose of restricting the claimed
invention independent of the composition of the features in the embodiments and/or
the claims. It is explicitly stated that all value ranges or indications of groups
of entities disclose every possible intermediate value or intermediate entity for
the purpose of original disclosure as well as for the purpose of restricting the claimed
invention, in particular as limits of value ranges.
1. A medical image processing apparatus
characterized by comprising:
a storage unit (26) configured to store data of a plurality of tomograms respectively
corresponding to a plurality of slices of an object;
a contour line extraction unit (28, 29) configured to extract a plurality of contour
lines associated with a specific region from the plurality of tomograms;
a contour line processing unit (28, 29) configured to generate a plurality of curves
respectively corresponding to the plurality of extracted contour lines; and
a surface image generating unit (31) configured to generate a plurality of one-dimensional
brightness trains on the plurality of curves from the plurality of tomograms and generate
a surface image expressing surface unevenness of the specific region with brightness
changes by arraying the one-dimensional brightness trains in accordance with positions
on corresponding scan planes.
2. The apparatus according to claim 1, characterized in that the curve is a smoothed curve obtained by smoothing depth changes of the contour
line.
3. The apparatus according to claim 1 or 2, characterized in that the curve passes between a train of depth local maximum points on the contour line
and a train of depth local minimum points on the contour line.
4. The apparatus according to any one of claims 1 to 3, characterized in that the curve repeatedly crosses the contour line.
5. The apparatus according to any one of claims 1 to 4, further comprising a display
unit configured to display the surface image together with the tomogram.
6. An ultrasonic diagnosis apparatus
characterized by comprising:
an ultrasonic probe (12);
an ultrasonic transmission/reception unit (21, 22) configured to transmit and receive
ultrasonic waves to an object via the ultrasonic probe to generate echo signals associated
with a plurality of scan planes;
an image data generating unit (25) configured to generate data of a plurality of tomograms
respectively corresponding to the plurality of scan planes based on the echo signals;
and
a medical image processing apparatus according to any one of claims 1 to 5.
7. The apparatus according to claim 6, characterized in that the ultrasonic probe is one of a one-dimensional array type probe and a two-dimensional
matrix array type probe configured to mechanically or electronically swing a scan
plane.
8. An ultrasonic diagnosis apparatus
characterized by comprising:
an ultrasonic probe (12);
an ultrasonic transmission/reception unit (21, 22) configured to generate echo signals
associated with a plurality of scan planes by transmitting and receiving ultrasonic
waves to and from an object via the ultrasonic probe;
an image data generating unit (25) configured to generate data of a plurality of tomograms
respectively corresponding to the plurality of scan planes based on the echo signals;
and
an image generating unit (31) configured to generate an image from brightness trains
on a plurality of curves respectively corresponding to the plurality of tomograms.
9. The apparatus according to claim 8, characterized in that the curve is associated with a contour line of a specific region of the object.
10. The apparatus according to claim 8 or 9, characterized in that the image is an image expressing surface unevenness of the specific region of the
object with brightness changes.
11. The apparatus according to any one of claims 8 to 10, further comprising a display
unit configured to display the image together with the tomogram.
12. A medical image processing method
characterized by comprising:
extracting (53) a plurality of contour lines associated with a specific region from
a plurality of tomograms;
smoothing (54) the plurality of extracted contour lines to generate a plurality of
curves; and
displaying a set of brightness trains on the plurality of curves from the plurality
of tomograms as an image.